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Detection and tracking of face and facial features for Recognition of Turkish Sign Language

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dc.contributor.authorGuevensan, M. Amac
dc.contributor.authorHaberdar, Hakan
dc.contributor.institutionauthorGÜVENSAN, Mehmet Amaç
dc.date.accessioned2026-06-27T13:01:10Z
dc.date.issued2007
dc.description.abstractThe accurate localization of facial features is the basic step for interpreting the facial gestures, which we use in our daily conversation to express our feelings and opinions. This research, planned to use in Turkish Sign Language Recognition systems, introduces a new method, called MISSE, whose aim is to find the facial features and to track them. The success rate of this method is approximately %92. Moreover, the test results show us, that this method can be adapted to a real-time system easily because of its speed.en
dc.identifier.endpage960
dc.identifier.isbn978-1-4244-0719-4
dc.identifier.startpage957
dc.identifier.urihttps://hdl.handle.net/20.500.14981/49055
dc.identifier.wos000252924600240
dc.language.isotur
dc.publisherIEEE
dc.relation.conferenceIEEE 15th Signal Processing and Communications Applications Conference
dc.relation.ispartof2007 IEEE 15TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS, VOLS 1-3
dc.subjectComputer Science
dc.subjectEngineering
dc.subjectTelecommunications
dc.titleDetection and tracking of face and facial features for Recognition of Turkish Sign Language
dc.typeProceedings Paper
dspace.entity.typePublication
local.import.sourceWOS

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